S.Sivarajeswari et al., International Journal of Advanced Engineering Technology E-ISSN 0976-3945
Research Paper
NOVEL TECHNIQUE ON IMPROVEMENT OF DYNAMIC
PERFORMANCE FOR POSITIVE OUTPUT TRIPLE LIFT LUO
CONVERTER
1
S.Sivarajeswari, 2Dr.D.Kirubakaran
Address for Correspondence
1
Research Scholar, Anna University, and Assistant Professor, Department of EEE,
Sri Sairam Institute of Technology, Chennai, India
2
Professor and Head, Department of EEE, St. Joseph’s Institute of Technology, Chennai, India
ABSTRACT
The positive output triple lift Luo converter is a newly developed advanced DC-DC converter. The object of this paper is to
design and analyze a Fuzzy Logic Controller for positive output triple lift Luo converter (POTLLC). Fuzzy logic is recently
increasing emphasis in process control applications. Properties of the proposed controllers are: 1) robustness around the
operating point, 2) good performance of transient responses under varying load conditions and/or input voltage, and 3)
invariant dynamic performance in the presence of varying operating conditions. The positive output triple lift Luo converter
performs the voltage conversion from positive source voltage to positive load voltage. The simulation model of the positive
output triple lift Luo converter with its control circuit was developed in Matlab/Simulink. Experimental Results are
compared with simulation results.
KEYWORDS: pv cells, triple lift converter, voltage lift technique, Arithmetic/Geometric progression, Voltage Transfer
Gain, Fuzzy logic controller.
I.INTRODUCTION
DC-DC switching converters are a traditional
benchmark for testing nonlinear controllers, due to
their inherent nonlinear characteristics. After the
pioneering studies of Middlebrock [1], a great deal of
research has been directed at developing techniques
for averaged modeling of different classes of
switching converters [2] and for an automatic
generation of the averaged models [3]. The
motivation of such studies was the selection of
continuous models as simple as possible, but
adequate to capture all the main features of the
switching converters in terms of stability, dynamic
characteristics and effectiveness for designing closed
loop regulators. A large number of possible nonlinear
controllers have been proposed: among others sliding
mode control strategies [4], nonlinear PI controllers
based on the method of extended linearization [5] and
nonlinear H∞, controllers [6]. A recent interesting
paper [7] presents the results of an experimental
comparison of five control algorithms on a boost
converter: linear averaged controller, feedback linear
zing controller, passivity-based controller, sliding
mode controller, sliding mode plus passivity-based
controller are compared along with their adaptive
versions in order to cope with the parameter
uncertainty due to a load resistance change.
Advantages and drawbacks of the proposed control
strategies are tested under a fixed output voltage with
load variations.
All the quoted literature comply with the more
general problem of applying nonlinear control
techniques to complex real world technical problems
such classical approach has undoubtedly the
advantage of designing analytical controllers and to
evaluate quantitatively their stability bounds. The
major problem of the classical approach remains that
as the complexity of system increases, our ability to
make precise and yet significant statements about its
behaviour diminishes [8].
In our opinion the control of switching converter
constitutes at the present time a borderline problem,
which can be handled both with conventional
nonlinear control strategies and with fuzzy logicbased technologies. Why can be fuzzy logic chosen
as an alternative design method to nonlinear
controllers? An important answer was given in [9]: a
Int J Adv Engg Tech/Vol. VII/Issue I/Jan.-March,2016/818-821
nonlinear controller such as fuzzy logic can be
inexpensively implemented with DSP-based microcontroller. As a matter of fact many researchers
focused their efforts on the application of fuzzy
technology for controlling switching converters. In
[9] the advantages of a low cost micro- controller
implementation of a fuzzy direct control were
pointed out. A model- based fuzzy controller (fuzzy
indirect control) for a Buck converter was proposed
in [10]. Bonissone [11] proposed a successful
application for resonant converters, by using suitable
scaling factors. In [11] the fuzzy controller performs
a variable action depending on the difference
between the desired and the actual output voltage.
Such implementation considers an optimization of
the scaling factors around a single output operating
point. Our goal is to implement a robust fuzzy
controller that can achieve the following properties:
1) Robustness around the operating point (e.g. in the
case of a load change; 2) Good dynamic performance
(i.e. rise time, overshoot, settling time and limited
output ripple) in the presence of input voltage
variations (and load changes); and 3) Invariant
dynamic performance in presence of varying
operating conditions. To the best of our knowledge,
property 1 has been fulfilled in all related literature.
Property 2 requires the synthesis of a complex
controller (fuzzy or nonlinear) able to optimize the
transient performance. Property 3 (along with I and
2) implies the synthesis of a global controller, with
optimized parameters for varying operating
conditions. Such task seems to be extremely hard;
however we believe that a complex nonlinear
controller could be accomplished using fuzzy based
controller. In this paper, using advanced DC-DC
converters fuzzy logic controllers (FLCs) are
developed and presented.
1.1. PROPOSED DC-DC CONVETER
The proposed model overcome the difficulties which
is present in the conventional methods and it will
produce good dynamic performance in the presence
of input voltage variations and Invariant dynamic
performance in presence of varying operating
conditions. The Triple Lift Luo Converter has
improves dynamic performance using fuzzy Logic
Controller and reduces the settling time upto 0.01
secs.
S.Sivarajeswari et al., International Journal of Advanced Engineering Technology E-ISSN 0976-3945
2. TRIPLE LIFT LUO CONVERTER
Triple lift luo circuit is shown in fig.2 and it consists
of two switches S and S1, four inductors L1,L2,L3 and
L4, five capacitors C,C1,C2,C3 and C0 and five
freewheeling diodes[3].
Fig. 2 Triple Lift Luo Circuit
Capacitor C1,C2,C3 perform characteristics to lift the
capacitor voltage VC by three times the source
voltage V1.L3 and L4 perform the ladder joints to
line[16].
The converter may work in discontinuous mode
when f is small, duty cycle k is small, inductor L is
small, and load current is high.
3. DESIGN OF FUZZY LOGIC CONTROLLER
FOR POTLLC
Fuzzy control can be used to improve existing
traditional controller systems by adding an extra
layer of intelligence to the current control method.
The process of converting a crisp input value to a
fuzzy value is called "fuzzification".
The fuzzy controller utilizes triangular membership
functions on the controller input. The triangular
membership function is chosen for its simplicity.
Fuzzy control rules are obtained from the analysis of
the system behaviour. The operating conditions
greatly improve the converter performance in terms
of dynamic response and robustness. To obtain the
control decision the min-max inference method is
used. The rule viewer for the fuzzy logic controller is
shown in figure-5.
Fig. 3 Switches S and S1 are ON
Fig. 4 Switches S and S1 are Open
In the description of the converter operation, it is
assumed that all the components are ideal and
positive output triple lift converter operates in a
continuous conduction mode. Fig. 3 and 4 shows
the modes of operation of the converter.
The current iL2 increases in switches are in ON
period kT. And it decreases in switches are in OFF
period (1-kT). The output voltage and current are
Figure. 5 Rule Viewer
4.SIMULATION OF TRIPLE LIFT
CONVERTER
The simulation has been performed on the positive
output triple lift Luo converter for pv system using
fuzzy logic controller circuit with parameters listed in
Table1.
(1)
(2)
The voltage transfer gain in continuous mode is
MT =
=
(3)
Average current
IL1 =
(4)
IL2 = Io
(5)
IL3= IL4= IL1+ IL2 =
(6)
Current variations
Ƞ=
(7)
Therefore variations ratio of the output voltage Vc is
Ԑ=
(8)
Int J Adv Engg Tech/Vol. VII/Issue I/Jan.-March,2016/818-821
Fig. 6 Simulink Model for Proposed Scheme
Table:1 Parameters to design Potllc
S.Sivarajeswari et al., International Journal of Advanced Engineering Technology E-ISSN 0976-3945
5. SIMULATION OUTPUT
The positive output triple lift luo converter is
designed and developed using fuzzy logic controller
in MATLAB/Simulink and the output voltage from
converter with and without fuzzy logic controller is
shown in fig-9 and 10. When load resistance
increased the settling time is reduced. When load
resistance decreased the settling time increased.
Fig.9 Output Voltage from POTLLC with
FLC
1. The Triple Lift converter convert the 12V DC to
72V DC For Duty cycle K=0.5. The Triple Lift Luo
Converter improve dynamic performance using
fuzzy Logic Controller and reduces the settling time
upto 0.01 secs
7. CONCLUSION
The positive output triple lift luo converter performs
the voltage conversion from positive source voltage
to positive load voltage. The application of positive
output triple lift luo converter in solar pv system
produces voltages increasing in geometric
progression. It produces output voltage of 220V for
the input voltage of 40V from solar pv system. The
fuzzy logic controller have proved to be Robustness
around the operating point, Good dynamic
performance in the presence of input voltage
variations and Invariant dynamic performance in
presence of varying operating conditions. Simulation
and Experimental Results Demonstrates the Triple
Lift Luo Converter has improves dynamic
performance using fuzzy Logic Controller and
reduces the settling time upto 0.01 secs. The
experimental Results closely agree with the
Simulation Results.
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Fig. 10 Output Voltage from POTLLC without
FLC
6. EXPERIMENTAL VERIFICATION
Positive Output Triple lift Luo Converter was built
and tested at 12V. Experimental setup of Triple Lift
Luo Converter is shown in Fig 11.
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Fig. 11 Hardware Layout
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Fig. 12 Output voltage
A 230V AC is taken from the supply. It is step down
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its given to the bridge rectifier and capacitive filter
for pure DC conversion. Then it is given to the
converter circuit. The parameters are shown in Table
Int J Adv Engg Tech/Vol. VII/Issue I/Jan.-March,2016/818-821
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